Accelerating and scaling AI-powered automation in Life Sciences - ERP Spain.com - España y América Latina

In recent years, there has been a significant and rapid shift in how organizations in the Life Sciences, Bio pharma, and Medical Device sectors prioritize digital transformation. The Life Science Industry, in particular, has emerged as a frontrunner in digital disruption, transitioning from basic healthcare services to digital therapeutics and connected care. The COVID-19 pandemic has further accelerated the evolution of the healthcare landscape. Patient data sharing has increased, patients themselves are demanding greater engagement in their care, and non-pharmaceutical interventions are increasingly being utilized to treat various diseases. This heightened awareness of the future of health has prompted enterprise leaders in the industry to scale up and accelerate their automation and AI initiatives. However, without a well-defined strategy and approach, organizations may encounter stagnation in their digital transformation efforts. To overcome these challenges, leading Life Sciences organizations have turned to AI-powered automation as a means to enable growth and success. This approach involves leveraging advanced technologies such as Generative AI, Machine Learning, Natural Language Processing, computer vision, and Robotic Process Automation to enhance the efficiency of automated processes. By incorporating AI into automation workflows, organizations can empower their technology to make intelligent decisions, perform cognitive tasks, and automate non-rules-based processes. This not only opens up numerous opportunities for innovation but also presents new challenges. Join Deloitte Consulting's leaders, Bhavish Madurai and Prashanth Sivadasan, to learn the importance of choosing the right capability model, engaging successfully with the business, and creating the right approach for demand generation. They will also dig into the keys to success and lessons for scaling and accelerating AI and automation programs across Life Sciences organizations.